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FAECYS | Federación Argentina de Empleados de Comercio y Servicios — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Non Profit Organizations →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
acuda.org.ar ↗	66 match 2 shared topics	ASOCIACION DE CONSUMIDORES Y USUARIOS DE LA ARGENTINA	AR es	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
ctmseccion1.com ↗	65 match 2 shared topics	Federación Regional de Trabajadores de México - Sección 1	es	non-profit-organizations	robotsllmsaihumans	emailphone	none
catemoficial.com ↗	65 match 2 shared topics	Confederación \| Catem \| Ciudad de México	es	non-profit-organizations Wix	robots llmsaihumans	emailphone	none
federacionaltifem.com ↗	65 match 2 shared topics	Federación de Asociaciones de Mujeres Feministas Rurales ALTIFEM	es	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
achinib.com ↗	64 match 2 shared topics	Achinib \| Asociación china de las Islas Baleares	es	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
catamayoecuador.com ↗	63 match 2 shared topics	Asociación de Derechos Humanos y Promejoras de El Tambo	es	non-profit-organizations	robotsllmsaihumans	emailphone	none
fundacionevaperon.ar ↗	63 match 2 shared topics	Inicio - Fundación Eva Perón	AR es	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
apneuquen.com.ar ↗	63 match 2 shared topics	APN – Asociación de Profesionales del Neuquén	AR es	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
fidr.org.ar ↗	63 match 2 shared topics	Fundación IDR	AR es	non-profit-organizations Joomla	robotsllmsaihumans	emailphone	none
fundacionfoc.org.ar ↗	63 match 2 shared topics	Fundación FOC	AR es	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
federacionobrera.com ↗	63 match 2 shared topics	Federación Obrera Nacionalista \| Organizacion sindical \| Calle Pestalozzi 809, Narvarte Poniente, Mexico City, CDMX, Mexico	es	non-profit-organizations Wix	robots llmsaihumans	emailphone	none
ava.org.ar ↗	62 match 2 shared topics	AVA \| Asociación Civil de Ayuda a Villa Astolfi	AR es	non-profit-organizations	robotsllmsaihumans	emailphone	none
cilem.com.ar ↗	62 match 2 shared topics	LEM asociación civil \| CILEM centro de investigación	AR es	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
dialogo.es ↗	62 match 2 shared topics	Asociación Diálogo Francia – España, de utilidad pública	ES es	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
balsapintada.org ↗	62 match 2 shared topics	Página Web de la Pedanía de Balsapintada	es	non-profit-organizations Weebly	robotsllmsaihumans	emailphone	none
comtrabajosocial.es ↗	62 match 2 shared topics	Inicio - Colegio de Trabajo Social de Madrid	ES es	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
2dosmnarino.org ↗	62 match 2 shared topics	Fundación 2dosmnarino – Fundación 2dosm Nariño	es	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
fie.org.ar ↗	62 match 2 shared topics	FIE – Fundación para el Fortalecimiento de las Instituciones y la Equidad	AR es	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.